Please use this identifier to cite or link to this item:
https://dspace.nuft.edu.ua/jspui/handle/123456789/24688| Title: | Genetic algorithm for multi objective optimization |
| Authors: | Polupan, Vladimir Cherednichenko, Galina |
| Keywords: | programming genetic algorithms програмування генетичні алгоритми программирование генетические алгоритмы кафедра автоматизації та комп'ютерних технологій систем управління |
| Issue Date: | 2016 |
| Citation: | Polupan, V. Genetic algorithm for multi objective optimization / V. Polupan, G. Cherednichenko // Food Science for Well-being (CEFood 2016) : 8th Central European Congress on Food, 23–26 May 2016. – Kyiv : NUFT, 2016. – P. 105. |
| Abstract: | Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to form a scalar objective function, usually through a linear combination (weighted sum) of the multiple attributes, or by turning objectives into constraints. |
| URI: | http://dspace.nuft.edu.ua/jspui/handle/123456789/24688 |
| Appears in Collections: | Тези доповідей |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CEFood_тези 2.pdf | 99,51 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.